karthink/gptel - Open Source PR Review Scorecard

A simple, extensible LLM client for Emacs

C-Rank Grade: D (Risky) - 17/100

External PR Merge Rate: -

Response Time: 2d

First Timer Success: -

Frequently Asked Questions

Is karthink/gptel welcoming to first-time open-source contributors?

karthink/gptel has a recorded first-timer success rate of 0.0%. Repositories ranked D typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in karthink/gptel respond to incoming external pull requests in approximately 36.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 17.3 C-Rank™ score (D Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 17.3 places karthink/gptel in the D tier.

What is the external contributor pull request merge rate for karthink/gptel?

The external contributor pull request merge rate for karthink/gptel is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in karthink/gptel?

karthink/gptel currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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karthink/gptel

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InactiveD•Risky(17/100)EMEmacs Lisp

A simple, extensible LLM client for Emacs

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.3/10
Patience Score
8.6/10
Nitpick Rate
20%

Highly welcoming maintainers in karthink/gptel. Prompt code reviews with positive guidance for new contributors.

What Contributors Actually Say

Discussions in karthink/gptel focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Update docs or README when behavior changes
  • •Add or update tests for changed behavior before requesting review
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not ship user-facing changes without matching docs
  • •Do not leave requested test coverage unresolved
  • •Do not mix unrelated refactors in a single PR
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
0.0%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe3/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for karthink/gptel
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/karthink/gptel)](https://getmerged.abhishekco.de/karthink/gptel?utm_source=github&utm_medium=badge)

Active Good First Issues (2)

View on GitHub

gptel/gptel-openai.el Lines 240 to 243 in e505a9d (when gptel-max-tokens ;; HACK: The OpenAI API has deprecated max_tokens, but we still need it ;; for OpenAI-compatible APIs like GPT4All (#485) (plist-put prompts-plist :max_tokens gptel-max-tokens)) This causes errors with self-hosted GPT-5 when combined with gptel-agent: https://github.com/karthink/gptel-agent/blob/b90d59531783ed18fd91da0c14d053bc3e0e8df7/gptel-agent.el#L515 Really not sure which repo this belongs in, but this seems more like a gptel issue to me.

📅 Opened Apr 8, 2026💬 14 comments
Quality: 70/100Contribute

If you use the Bedrock backend, I need your help. Please try editing a tool call and let me know if it works. Here's how to do it. Procure and enable some gptel-tool(s). Any tools. (setq gptel-confirm-tool-calls t) and (setq gptel-include-tool-results t). Make an LLM request in a buffer that generates a tool call. The tool confirmation UI will show up. Press C-c C-i or C-c TAB (same thing) to edit the tool call. Edit the tool call arguments and confirm the tool call. (You can also edit the tool name, changing the tool call entirely, but the rest of the call will have to be consistent.) Check the result in the buffer to see if the tool was called with the modified arguments.

📅 Opened Mar 27, 2026💬 7 comments
Quality: 70/100Contribute
Looking for more Emacs Lisp beginner tasks?Explore Emacs Lisp GFI

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Contributor Compatibility & Review Speed Analysis for karthink/gptel

When evaluating whether to contribute to karthink/gptel, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of karthink/gptel acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to karthink/gptel

01

Is karthink/gptel welcoming to first-time open-source contributors?

karthink/gptel has a recorded first-timer success rate of 0.0%. Repositories ranked Risky typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 17.3 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 17.3 places karthink/gptel in the Risky tier.

04

What is the external contributor pull request merge rate for karthink/gptel?

The external pull request merge rate is 0.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in karthink/gptel?

Yes, karthink/gptel currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for karthink/gptel are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.